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Soumaya YacoutDépartement de mathématiques et de génie industriel
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Agredano, F., Yacout, S., & Simard, D. (mai 2024). Predictive Modeling for Quality Control in Multi-Stage Manufacturing Using Artificial Intelligence [Communication écrite]. IISE Annual Conference and Expo, Montreal, QC, Canada. Non disponible
Aboelhassan, A., Sakr, A. H., & Yacout, S. (2023). General purpose digital twin framework using digital shadow and distributed system concepts. Computers & Industrial Engineering, 183, 109534 (13 pages). Lien externe
Agredano, F., Taha, H. A., & Yacout, S. (juin 2023). Maintenance 4.0 opportunistic strategy for electric buses [Communication écrite]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada (5 pages). Lien externe
Ali, A. M., Yacout, S., Rabeih, E.-A., & Shaban, Y. (2022). A cyber process control system based on pattern recognition and cloud computing. Gestão & Produção, 29. Lien externe
AboElHassan, A., & Yacout, S. (2022). A digital shadow framework using distributed system concepts. Journal of Intelligent Manufacturing, 34(8), 3579-3598. Lien externe
AboElHassan, A., & Yacout, S. (septembre 2021). Embedding Reinforcement Learning in Simulation [Communication écrite]. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Vasteras, Sweden (6 pages). Lien externe
AboElHassan, A., Sakr, A., & Yacout, S. (2021). A Framework for Digital Twin Deployment in Production Systems. Dans Advances in Automotive Production Technology – Theory and Application (p. 145-152). Lien externe
Aly, M., Khomh, F., & Yacout, S. (décembre 2021). On the performance implications of deploying IoT apps as faas [Communication écrite]. 1st International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC 2021), Varanasi, India. Lien externe
Aly, M., Khomh, F., & Yacout, S. (2021). What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions. Internet of Things, 14, 100364. Lien externe
Ali, A. M., Mohamed, E.-A., Yacout, S., & Shaban, Y. (2020). Cloud computing based unsupervised fault diagnosis system in the context of Industry 4.0. Gestão & Produção, 27(3), 19 pages. Disponible
Aly, M., Khomh, F., Haoues, M., Quintero, A., & Yacout, S. (2019). Enforcing security in Internet of Things frameworks: A Systematic Literature Review. Internet of Things, 6, 100050 (24 pages). Lien externe
Ahmed, A. M., Ibrahim, S. K., & Yacout, S. (mars 2019). Hyperspectral Image Classification Based on Logical Analysis of Data [Communication écrite]. 2019 IEEE Aerospace Conference, Montana, USA (9 pages). Lien externe
Aly, M., Khomh, F., Guéhéneuc, Y.-G., Washizaki, H., & Yacout, S. (2019). Is fragmentation a threat to the success of the Internet of things? IEEE Internet of Things Journal, 6(1), 472-487. Lien externe
Ahmed, A. M., Salama, A., Ibrahim, H. A., Sayed, M. A. E., & Yacout, S. (mars 2019). Prediction of Battery Remaining Useful Life on Board Satellites Using Logical Analysis of Data [Communication écrite]. IEEE Aerospace Conference, Montana, USA (8 pages). Lien externe
Amer, M., Hassan, A., Ragab, A., Yacout, S., Savaria, Y., & Sawan, M. (mai 2018). High-Temperature Empirical Modeling for the I-V Characteristics of GaN150-Based HEMT [Communication écrite]. IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italy. Lien externe
Abubakr, A., Hassan, A., Ragab, A., Yacout, S., Savaria, Y., & Sawan, M. (mai 2018). High-temperature modeling of the I-V characteristics of GaN150 HEMT using machine learning techniques [Communication écrite]. IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italie (5 pages). Lien externe
Aly, M., Khomh, F., & Yacout, S. (novembre 2018). Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments [Communication écrite]. 11th IEEE Conference on Service-Oriented Computing and Applications (SOCA 2018), Paris, France. Lien externe
Aly, M., Yacout, S., & Shaban, Y. (janvier 2017). Analysis of massive industrial data using MapReduce framework for parallel processing [Communication écrite]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL (6 pages). Lien externe
Aramesh, M., Shaban, Y., Yacout, S., Attia, M. H., Kishawy, H. A., & Balazinski, M. (2016). Survival life analysis applied to tool life estimation with variable cutting conditions when machining titanium metal matrix composites (Ti-MMCs). Machining Science and Technology, 20(1), 132-147. Lien externe
Aramesh, M., Shaban, Y., Balazinski, M., Attia, H., Kishawy, H. A., & Yacout, S. (juin 2014). Survival life analysis of the cutting tools during turning titanium metal matrix composites (Ti-MMCs) [Communication écrite]. 6th CIRP Conference on Performance Cutting (HPC 2014), Berkeley, Cal.. Publié dans Procedia CIRP, 14. Lien externe
Abdernazak, B., & Yacout, S. (mai 2009). LAD-CBM: new data processing tool for diagnosis and prognosis in condition-based maintenance [Communication écrite]. International Conference on Industrial Engineering and Systems Management (IESM 2009), Montréal, Québec. Non disponible
Aoudjit, H., Ouali, M.-S., & Yacout, S. (2007). Modélisation et analyse de sensibilité d'un processus de dégradation stochastique composé. Revues JESA, 41(9-10). Non disponible
Adjengue, L., Yacout, S., & Ilk, O. (2007). Parameters estimation for condition based maintenance with uncorrelated and correlated observations. Quality Engineering, 19(3), 197-206. Lien externe
Bassetto, S., Yacout, S., Bassetto, S., & Shaban, Y. (2023). Experimental vibration data collected for a belt drive system under different operating conditions. Data in Brief, 48, 6 pages. Disponible
Barde, S. R. A., Yacout, S., & Shin, H. (2019). Optimal preventive maintenance policy based on reinforcement learning of a fleet of military trucks. Journal of Intelligent Manufacturing, 30(1), 147-161. Lien externe
Buades Marcos, D., Yacout, S., & Berriah, S. (décembre 2019). A Self-Supervised Encoder for Fault Prediction in Electrochemical Cells [Affiche]. 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. Non disponible
Barde, S., Hayong, S., & Yacout, S. (septembre 2016). Opportunistic preventive maintenance strategy of a multi-component system with hierarchical structure by simulation and evaluation [Communication écrite]. 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, Germany (8 pages). Lien externe
Baril, C., Yacout, S., & Clément, B. (2013). Collaborative decision-making in product design: An interactive multiobjective approach. Journal of Industrial Engineering, 2013, 12 pages. Disponible
Baril, C., Yacout, S., & Clément, B. (2012). An Interactive Multi-Objective Algorithm for Decentralized Decision Making in Product Design. Optimization and Engineering, 13(1), 121-150. Lien externe
Bennane, A., & Yacout, S. (2012). LAD-CBM: new data processing tool for diagnosis and prognosis in condition-based maintenance. Journal of Intelligent Manufacturing, 23(2), 265-275. Lien externe
Baril, C., Yacout, S., & Clément, B. (2011). Design for Six Sigma through collaborative multiobjective optimization. Computers & Industrial Engineering, 60(1), 43-55. Lien externe
Bennane, A., & Yacout, S. (juillet 2010). Processing missing and inaccurate data in a condition based maintenance database [Communication écrite]. 40th International Conference on Computers & Industrial Engineering (CIE-40 2010), Awaji City, Japan. Lien externe
Elfar, O., Yacout, S., & Osman, H. (2021). Accelerating logical analysis of data using an ensemble-based technique. Engineering Letters, 29(4), 1616-1625. Lien externe
Elsheikh, A., Yacout, S., Ouali, M.-S., & Shaban, Y. (2020). Failure time prediction using adaptive logical analysis of survival curves and multiple machining signals. Journal of Intelligent Manufacturing, 31(2), 403-415. Lien externe
Elsheikh, A., Yacout, S., & Ouali, M.-S. (2018). Bidirectional handshaking LSTM for remaining useful life prediction. Neurocomputing, 323(148-156), 148-156. Lien externe
Ebrahimipour, V., & Yacout, S. (2015). Ontology modeling in physical asset integrity management. Lien externe
Ebrahimipour, V., & Yacout, S. (2015). Ontology-based knowledge platform to support equipment health in plant operations. Dans Ebrahimipour, V., & Yacout, S. (édit.), Ontology modeling in physical asset integrity management (p. 221-255). Lien externe
Ebrahimipour, V., & Yacout, S. (2015). Ontology-based schema to support maintenance knowledge representation with a case study of a pneumatic valve. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(4), 702-712. Lien externe
Ebrahimipour, V., & Yacout, S. (juillet 2013). An integrated ontology framework to support fault prognosis system considering environmentally conscious production [Communication écrite]. 22nd International Conference on Production Research (ICPR 22), Iguassu Falls, Brazil. Non disponible
Gonzalez Rubio, J. L., Shaban, Y., & Yacout, S. (mars 2016). Visual data mining of faults in machining process based on machine learning [Communication écrite]. International Conference on Industrial Engineering and Operations Management (IEOM 2016), Kuala Lumpur, Malaysia. Lien externe
Ghasemi, A., Esmaeili, S., & Yacout, S. (2015). Equipment mean residual life estimation using logical analysis of data. International Journal of Decision Sciences, Risk and Management, 6(1), 16-33. Lien externe
Ghasemi, A., Esmaeili, S., & Yacout, S. (2013). Development of equipment failure prognostics model based on Logical Analysis of Data (LAD). Engineering Letters, 21(4), 256-263. Lien externe
Ghasemi, A., Esmaeili, S., & Yacout, S. (septembre 2012). Equipment's Prognostics Using Logical Analysis of Data [Communication écrite]. IFIP WG 5.7 International Conference on Advances in Production Management System : Competitive Manufacturing for Innovative Products and Services (APMS 2012), Rhodes, Greece. Lien externe
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2010). Evaluating the reliability function and the mean residual life for equipment with unobservable states. IEEE Transactions on Reliability, 59(1), 45-54. Lien externe
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2010). Parameter Estimation Methods for Condition-Based Maintenance With Indirect Observations. IEEE Transactions on Reliability, 59(2), 426-439. Lien externe
Ghasemi, A., Yacout, S., & Ouali, S. M. (mai 2009). Parameter estimation for condition based maintenance with proportional hazard model [Communication écrite]. International Conference on Industrial Engineering and Systems Management (IESM 2009), Montréal, Québec. Non disponible
Ghasemi, A., Yacout, S., & Ouali, M.-S. (octobre 2007). Optimal inspection period and replacement policy for CBM with imperfect information using PHM [Communication écrite]. World Congress on Engineering and Computer Science, San Francisco (California). Lien externe
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2008). Optimal strategies for non-costly and costly observations in condition based maintenance. IAENG International Journal of Applied Mathematics, 38(2), 9-9. Lien externe
Ghasemi, A., Yacout, S., & Ouali, S. M. (janvier 2008). Parameter estimation algorithms of a condition based maintenance with imperfect information and proportional hazard model [Communication écrite]. Industrial Engineering Research Conference. Non disponible
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2007). Optimal Condition Based Maintenance With Imperfect Information and the Proportional Hazards Model. International Journal of Production Research, 45(4), 989-1012. Lien externe
Hassan, M. O., Saucier, A., Yacout, S., & Soumis, F. (2021). A mixed integer linear programming model for multi-sector planning using speed and heading changes. Computers & Operations Research, 128, 19 pages. Lien externe
Hassan, M. O., Saucier, A., Yacout, S., & Soumis, F. (2020). Randomly generated problems for the complexity resolution problem in a multi sector planning context [Ensemble de données]. Lien externe
Ibrahim, M. M., Ahmed, A. M., Akah, H. E., Mohamed, M. I., & Yacout, S. (mars 2018). Integrated telemetry analysis using human expert knowledge and the logical analysis of data [Communication écrite]. IEEE Aerospace Conference (AERO 2018), Big Sky, MT (14 pages). Lien externe
Jocelyn, S., Chinniah, Y. A., Ouali, M.-S., & Yacout, S. (2017). Application of Logical Analysis of Data to Machinery-Related Accident Prevention Based on Scarce Data. Reliability Engineering & System Safety, 159, 223-236. Lien externe
Jocelyn, S., Chinniah, Y. A., Ouali, M.-S., & Yacout, S. (mai 2016). Application of logical analysis of data to prevent machinery-related accidents [Communication écrite]. Industrial and Systems Engineering Research Conference (ISERC 2016), Anaheim, CA, USA. Non disponible
Khalifa, R. M., Yacout, S., Bassetto, S., & Shaban, Y. (2024). Condition monitoring and warning of a belt drive system based on a logical analysis of data regression-based residual control chart. Structural Health Monitoring. Lien externe
Khalifa, R. M., Yacout, S., & Bassetto, S. (2023). Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average. Journal of Intelligent Manufacturing, 16 pages. Lien externe
Khalifa, R. M., Yacout, S., & Bassetto, S. (2021). Developing machine-learning regression model with Logical Analysis of Data (LAD). Computers and Industrial Engineering, 151, 106947 (16 pages). Lien externe
Khalifa, R. M., Yacout, S., & Bassetto, S. (novembre 2021). Quality 4.0 : entity relationship model for inspection and repair processes in aerospace domain [Communication écrite]. 6th North American Conference on Industrial Engineering & Operations Management (IEOM 2021), Monterrey, Mexico (11 pages). Lien externe
Lejeune, M., Lozin, V., Lozina, I., Ragab, A., & Yacout, S. (2019). Recent advances in the theory and practice of Logical Analysis of Data. European Journal of Operational Research, 275(1), 1-15. Lien externe
Lopez-Soto, D., Angel-Bello, F., Yacout, S., & Alvarez, A. (2017). A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem. Expert Systems With Applications, 81, 12-21. Lien externe
Lopez-Soto, D., Yacout, S., & Angel-Bello, F. (2016). Root cause analysis of familiarity biases in classification of inventory items based on logical patterns recognition. Computers & Industrial Engineering, 93, 121-130. Lien externe
Lamghabbar, A., Yacout, S., & Ouali, M.-S. (2004). Concurrent Optimization of the Design and Manufacturing Stages of Product Development. International Journal of Production Research, 42(21), 4495-4512. Lien externe
Lambhabbar, A., Yacout, S., & Ouali, M.-S. (janvier 2002). Concurrent optimisation of design and manufacturing phases of QFD, CROS-SCRO [Communication écrite]. 44th Annual Conference, MIT, Toronto. Non disponible
Mikhail, M., Ouali, M.-S., & Yacout, S. (2024). A data-driven methodology with a nonparametric reliability method for optimal condition-based maintenance strategies. Reliability Engineering and System Safety, 241, 109668 (11 pages). Lien externe
Masmoudi, O., Jaoua, M., Jaoua, A., & Yacout, S. (2021). Data Preparation in Machine Learning for Condition-based Maintenance. Journal of Computer Science, 17(6), 525-538. Disponible
Mikhail, M., Yacout, S., & Ouali, M.-S. (octobre 2019). Optimal preventive maintenance strategy using reinforcement learning [Communication écrite]. 4th North American International Conference on Industrial Engineering and Operations Management, Toronto, ON (9 pages). Lien externe
Mortada, M.-A., Yacout, S., & Lakis, A. A. (2014). Fault diagnosis in power transformers using multi-class logical analysis of data. Journal of Intelligent Manufacturing, 25(6), 1429-1439. Lien externe
Mortada, M.-A., Carroll, T. I.I.I., Yacout, S., & Lakis, A. A. (2012). Rogue components: Their effect and control using logical analysis of data. Journal of Intelligent Manufacturing, 23(2), 289-302. Lien externe
Mortada, M.-A., & Yacout, S. (mars 2011). cbmLAD - Using logical analysis of data in condition based maintenance [Communication écrite]. 3rd International Conference on Computer Research and Development (ICCRD 2011), Shanghai, China. Lien externe
Mortada, M. A., Yacout, S., & Lakis, A. A. (mars 2011). CBMLAD : Using logical analysis of data in condition based maintenance [Communication écrite]. International Conference on Systems Engineering and Modeling (ICSEM 2011), Shanghai, China. Non disponible
Mortada, M.-A., Yacout, S., & Lakis, A. A. (2011). Diagnosis of rotor bearings using logical analysis of data. Journal of Quality in Maintenance Engineering, 17(4), 371-397. Lien externe
Mortada, M.-A., & Yacout, S. (avril 2011). Expert elicitation and artificial intelligence in maintenance [Communication écrite]. 7th IMA International Conference on Modeling in Industrial Maintenance and Reliability, Cambridge. Non disponible
Mortada, M.-A., & Yacout, S. (mai 2011). The use of logical analysis of data in conjunction with expert elicitation in condition based maintenance [Communication écrite]. International Conference on Industrial Engineering and Systems Management (IESM 2011), Metz, France. Non disponible
Osman, H., & Yacout, S. (2022). Condition-based monitoring of the rail wheel using logical analysis of data and ant colony optimization. Journal of Quality in Maintenance Engineering, 29(2), 377-400. Lien externe
Orth, P., Yacout, S., & Adjengue, L. (2012). Accuracy and Robustness of Decision Making Techniques in Condition Based Maintenance. Journal of Intelligent Manufacturing, 23(2), 255-264. Lien externe
Ouali, M.-S., Tadj, L., Yacout, S., & Ait-Kadi, D. (2011). A survey of replacement models with minimal repair. Dans Replacement Models with Minimal Repair (p. 3-100). Lien externe
Ouali, M.-S., & Yacout, S. (2003). Optional preventive replacement policy for two-component system. Journal of Decision Systems, 12(1), 11-20. Lien externe
Piedras, H., Yacout, S., & Savard, G. (2006). Concurrent optimization of customer requirements and the design of a new product. International Journal of Production Research, 44(20), 4401-4416. Lien externe
Ragab, A., El Koujok, M., Ghezzaz, H., Amazouz, M., Ouali, M.-S., & Yacout, S. (2019). Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning. Expert Systems With Applications, 122, 388-405. Lien externe
Ragab, A., Yacout, S., Ouali, M.-S., & Osman, H. (2019). Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions. Journal of Intelligent Manufacturing, 30(1), 255-274. Lien externe
Ragab, A., El-Koujok, M., Poulin, B., Amazouz, M., & Yacout, S. (2018). Fault diagnosis in industrial chemical processes using interpretable patterns based on logical analysis of data. Expert Systems With Applications, 95, 368-383. Lien externe
Ragab, A., de Carné de Carnavalet, X., Yacout, S., & Ouali, M.-S. (2017). Face recognition using multi-class Logical Analysis of Data. Pattern Recognition and Image Analysis, 27(2), 276-288. Lien externe
Ragab, A., El-Koujok, M., Amazouz, M., & Yacout, S. (janvier 2017). Fault detection and diagnosis in the Tennessee Eastman Process using interpretable knowledge discovery [Communication écrite]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL, United states. Lien externe
Ragab, A., Yacout, S., Ouali, M.-S., & Osman, H. (2017). Pattern-based prognostic methodology for condition-based maintenance using selected and weighted survival curves. Quality and Reliability Engineering International, 33(8), 1753-1772. Lien externe
Ragab, A., Yacout, S., & Ouali, M.-S. (janvier 2016). Remaining useful life prognostics using pattern-based machine learning [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, AZ (7 pages). Lien externe
Ragab, A., Yacout, S., & Ouali, M.-S. (janvier 2015). Interpretable pattern-based machine learning for condition-based maintenance [Communication écrite]. 61st Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, Florida (6 pages). Non disponible
Ragab, A., Yacout, S., Ouali, M.-S., & Osman, H. (janvier 2015). Multiple failure modes prognostics using logical analysis of data [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, FL, USA (7 pages). Lien externe
Ragab, A., Ouali, M.-S., Yacout, S., & Osman, H. (mai 2014). Condition-based maintenance prognostics using logical analysis of data [Communication écrite]. IIE Annual Conference and Expo 2014, Montréal, Québec. Non disponible
Ragab, A., Ouali, M.-S., Yacout, S., & Osman, H. (2014). Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan-Meier estimation. Journal of Intelligent Manufacturing, 27(5), 943-958. Lien externe
Salvador, M., Yacout, S., & AboElHassan, A. (janvier 2022). Using Big Data and Machine Learning to Improve Aircraft Reliability and Safety [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2022), Tucson, AZ, USA (9 pages). Lien externe
Sakr, A. H., Aboelhassan, A., Yacout, S., & Bassetto, S. (septembre 2021). Building Discrete-Event Simulation for Digital Twin Applications in Production Systems [Communication écrite]. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Vasteras, Sweden (8 pages). Lien externe
Sakr, A. H., Aboelhassan, A., Yacout, S., & Bassetto, S. (2021). Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems. Journal of Intelligent Manufacturing, 2021(3), 1311-1324. Lien externe
Soto, D. L., Yacout, S., & Angel-Bello, F. (mai 2016). Inventory ABC supervised classification with logical analysis of data [Communication écrite]. Industrial and Systems Engineering Research Conference (ISERC 2016), Anaheim, CA, USA. Non disponible
Sakr, A. H., Yacout, S., & Bassetto, S. (octobre 2019). A discrete event simulation logic for semiconductor production planning and control within industry 4.0 paradigm [Communication écrite]. 4th North American International Conference on Industrial Engineering and Operations Management, Toronto, ON (11 pages). Lien externe
Shaban, Y., Yacout, S., & Aly, M. (janvier 2017). Condition-based reliability prediction based on logical analysis of survival data [Communication écrite]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL (6 pages). Lien externe
Shaban, Y., Yacout, S., Balazinski, M., & Jemielniak, K. (2017). Cutting tool wear detection using multiclass logical analysis of data. Machining Science and Technology, 21(4), 526-541. Lien externe
Shaban, Y., & Yacout, S. (janvier 2016). Cutting tool remaining useful life during turning of metal matrix composites [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, AZ (6 pages). Lien externe
Shaban, Y., & Yacout, S. (mars 2016). Identifying optimal intervene hazard for cutting tools considering cost-availability optimization [Communication écrite]. International Conference on Industrial Engineering and Operations Management (IEOM 2016), Kuala Lumpur, Malaysia. Lien externe
Shaban, Y., & Yacout, S. (2016). Predicting the remaining useful life of a cutting tool during turning titanium metal matrix composites. Proceedings of the Institution of Mechanical Engineers. Part B, Journal of Engineering Manufacture, 232(4), 681-689. Lien externe
Shaban, Y., Yacout, S., Balazinski, M., Meshreki, M., & Attia, H. (mars 2015). Diagnosis of machining outcomes based on machine learning with logical analysis of data [Communication écrite]. International Conference on Industrial Engineering and Operations Management (IEOM 2015), Dubai, United Arab Emirates (8 pages). Lien externe
Shaban, Y., Aramesh, M., Yacout, S., Balazinski, M., Attia, H., & Kishawy, H. (2015). Optimal replacement times for machining tool during turning titanium metal matrix composites under variable machining conditions. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(6), 924-932. Lien externe
Shaban, Y., Yacout, S., & Balazinski, M. (janvier 2015). Tool replacement based on pattern recognition with LAD [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, FL (6 pages). Lien externe
Shaban, Y., Yacout, S., & Balazinski, M. (2015). Tool Wear Monitoring and Alarm System Based on Pattern Recognition With Logical Analysis of Data. Journal of Manufacturing Science and Engineering, 137(4), 10 pages. Lien externe
Shaban, Y., Aramesh, M., Yacout, S., Balazinski, M., Attia, H., & Kishawy, H. (mai 2014). Optimal replacement of tool during turning titanium metal matrix composites [Communication écrite]. IIE Annual Conference and Expo 2014, Montréal, Québec. Non disponible
Shaban, Y., Meshreki, M., Yacout, S., Balazinski, M., & Attia, H. (2014). Process control based on pattern recognition for routing carbon fiber reinforced polymer. Journal of Intelligent Manufacturing, 28(1), 165-179. Lien externe
St-Pierre, C., & Yacout, S. (2002). A framework for the development of an environmental management system : a case study in a thermal power plant. Quality Engineering, 15(1), 49-65. Lien externe
Taha, H. A., Yacout, S., & Shaban, Y. (2023). Online failure analysis and autonomous risk control scheme for electric buses. Engineering Failure Analysis, 154, 15 pages. Lien externe
Taha, H. A., Yacout, S., & Shaban, Y. (2022). Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition. Journal of Intelligent Manufacturing, 34(5), 2185-2205. Lien externe
Taha, H. A., Yacout, S., & Shaban, Y. (2022). Deep reinforcement learning for autonomous pre-failure tool life improvement. International Journal of Advanced Manufacturing Technology, 121(9-10), 6169-6192. Lien externe
Taha, H. A., Yacout, S., & Birglen, L. (novembre 2020). Detection and Monitoring for Anomalies and Degradation of a Robotic Arm Using Machine Learning [Communication écrite]. Stuttgart Conference on Automative Production (SCAP 2020). Lien externe
Taha, H. A., Sakr, A. H., Yacout, S., & Serafin, P. (septembre 2021). Failure Reasoning and Uncertainty Analysis for Wheel Motor Electric Bus [Communication écrite]. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Vasteras, Sweden (4 pages). Lien externe
Taha, H. A., Sakr, A. A., & Yacout, S. (octobre 2019). Aircraft engine remaining useful life prediction framwork for industry 4.0 [Communication écrite]. International Conference on Industrial Engineering and Operations Management, Toronto, Canada (11 pages). Lien externe
Tadj, L., Ouali, M.-S., Yacout, S., & Ait-Kadi, D. (2011). Replacement models with minimal repair. Lien externe
Tail, M., Yacout, S., & Balazinski, M. (2010). Replacement time of a cutting tool subject to variable speed. Proceedings of the Institution of Mechanical Engineers. Part B, Journal of Engineering Manufacture, 224(3), 373-383. Lien externe
Wu, Y., Ebrahimipour, V., & Yacout, S. (mai 2014). Ontology-based modeling of aircraft to support maintenance management system [Communication écrite]. IIE Annual Conference and Expo 2014, Montréal, Québec. Non disponible
Yacout, S. (avril 2019). The Industrial Value Chain and the Digital Transformation: Prospects of Industrial Multidisciplinary Applications [Présentation]. Dans 6th IEEE International Conference on Industrial Engineering and Applications (ICIEA 2019), Tokyo, Japan. Non disponible
Yacout, S. The Industrial Value Chain and The Digital Transformation: Prospects of Industrial Multidisciplinary Collaborative Research [Présentation]. Dans CanmetENERGIE, Natural Resource Canada, Varennes, Québec, Canada. Non disponible
Yacout, S., & Ouali, M.-S. (janvier 2019). Using Artificial Intelligence for Block Maintenance of Pavement Segments with Similar Degradation [Communication écrite]. 65th Annual Reliability and Maintainability Symposium (RAMS 2019), Orlando, Florida. Lien externe
Yacout, S., Salamanca, D., & Mortada, M.-A. (2017). Tool and method for fault detection of devices by condition based maintenance. (Brevet no US9824060). Lien externe
Yacout, S., & Ebrahimipour, V. (2015). ISO 15926. Dans Ebrahimipour, V., & Yacout, S. (édit.), Ontology modeling in physical asset integrity management (16 pages). Lien externe
Yacout, K., Ebrahimipour, V., & Yacout, S. (mai 2014). Ontology based modeling of a complex real time system [Communication écrite]. IIE Annual Conference and Expo 2014, Montréal, Québec. Non disponible
Yacout, S., Alya, D., Saadany Susie, E. L., Kapongo, J.-P., Mani, S., & James, G. (2013). Knowledge discovery from observational data of causal relationship between clinical procedures and alzheimer's disease. Journal of Public Health Frontier, 2(1), 1-10. Lien externe
Yacout, S. (janvier 2012). Logical analysis of maintenance and performance data of physical assets, ID34 [Communication écrite]. Annual Reliability and Maintainability Symposium (RAMS 2012), Reno, Nevada. Lien externe
Yacout, S., Meshreki, M., & Attia, H. (juillet 2012). Monitoring and control of machining process by data mining and pattern recognition [Communication écrite]. 6th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2012), Palermo, Italy. Lien externe
Yacout, S. (juillet 2010). Fault detection and diagnosis for condition based maintenance using the Logical Analysis of data [Communication écrite]. 40th International Conference on Computers & Industrial Engineering (CIE-40 2010), Awaji City, Japan. Lien externe
Yacout, S., & Salamanca, D. (janvier 2008). Software for faults diagnosis on logical analysis of data [Communication écrite]. Maintenance and Reliability Conference (MARCON 2008), Tennessee, USA. Non disponible
Yacout, S., & Boudreau, J. (2001). HACCP and ISO 9002 in food processing industry: a computerized generic model for lobster production. Quality Engineering, 13(4), 571-579. Lien externe
